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Network analysis of protein dynamics

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Csaba Bode, Istvan A. Kovacs, Mate S. Szalay, Robin Palotai, Tamas Korcsmaros, Peter Csermely

Biomolecules · Submitted 11 Mar 2007

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim Finally, we suggest that modular analysis, novel centrality measures, hierarchical representation of networks and the analysis of network dynamics will soon lead to an expansion of this field.

how it is stated · hedged possibility 0.91 read the record →

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arXiv IDq-bio/0703025 (version 2)
Pith IDB3C54ZV5, Pith's permanent record of this paper and its review
CitationCsaba Bode, Istvan A. Kovacs, Mate S. Szalay, Peter Csermely, Robin Palotai, Tamas Korcsmaros. "Network analysis of protein dynamics." arXiv:q-bio/0703025 (2007). https://pith.science/paper/B3C54ZV5
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The compiled record

The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 4,269 input tokens.

What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.09 · human participants 0.02 · controlled comparison 0.02 · randomized assignment 0.01 · states quantitative result 0.03 · compares with prior results 0.09 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v2. Results and the main claim are underlined; .

The network paradigm is increasingly used to describe the topology and dynamics of complex systems. Here we review the results of the topological analysis of protein structures as molecular networks describing their small-world character, and the role of hubs and central network elements in governing enzyme activity, allosteric regulation, protein motor function, signal transduction and protein stability. We summarize available data how central network elements are enriched in active centers and ligand binding sites directing the dynamics of the entire protein. We assess the feasibility of conformational and energy networks to simplify the vast complexity of rugged energy landscapes and to predict protein folding and dynamics. Finally, we suggest that modular analysis, novel centrality measures, hierarchical representation of networks and the analysis of network dynamics will soon lead to an expansion of this field.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 The network paradigm is increasingly used to describe the topology and dynamics of complex systems. background 1.00 0.04 0.02 asserted 0.99
s1 Here we review the results of the topological analysis of protein structures as molecular networks describing their small-world character, and the role of hubs and central network elements in governing enzyme activity, allosteric regulation, protein motor function, signal transduction and protein stability. contribution 0.95 0.18 0.14 asserted 0.91
s2 We summarize available data how central network elements are enriched in active centers and ligand binding sites directing the dynamics of the entire protein. result 0.69 0.12 0.14 asserted 0.99
s3 We assess the feasibility of conformational and energy networks to simplify the vast complexity of rugged energy landscapes and to predict protein folding and dynamics. contribution 0.43 0.25 0.11 hedged possibility 0.92
s4 Finally, we suggest that modular analysis, novel centrality measures, hierarchical representation of networks and the analysis of network dynamics will soon lead to an expansion of this field. future work 1.00 0.12 0.52 hedged possibility 0.91

What kind of paper the classifier reports this is: review 1.00 · evidence from literature 0.95.

What was examined, and what was not

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  • figures and tables
  • references and citing sentences
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  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

The network paradigm is increasingly used to describe the topology and dynamics of complex systems. Here we review the results of the topological analysis of protein structures as molecular networks describing their small-world character, and the role of hubs and central network elements in governing enzyme activity, allosteric regulation, protein motor function, signal transduction and protein stability. We summarize available data how central network elements are enriched in active centers and ligand binding sites directing the dynamics of the entire protein. We assess the feasibility of conformational and energy networks to simplify the vast complexity of rugged energy landscapes and to predict protein folding and dynamics. Finally, we suggest that modular analysis, novel centrality measures, hierarchical representation of networks and the analysis of network dynamics will soon lead to an expansion of this field.

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